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Senior Data Scientist / MLOPS

Xebia

Amsterdam
Full-time
5-10 years experience
Hybrid

Key Skills

Data Science
Machine Learning Engineering
MLOps
Python
Spark
Kafka
Airflow
Kubernetes
Operations Research
Business Analytics
Model Development
Productionization
Simulation
Optimization
Data Analysis
Real-time data

Job Description

Senior Data Scientist | Amsterdam | Hybrid

We're looking for a Senior Data Scientist to join our growing Data team working at the intersection of Data Science and Machine Learning Engineering. As part of this team, you'll turn that data into tools and models that help crews and planners make better, faster decisions and build sustainable solutions for the aviation of the future.

This isn't a role about isolated proof-of-concepts. The focus is on getting models robust and running at scale in a live environment: from analysis and model development through to testing, monitoring and maintaining them once they're actually in use.

What you'll work on

  • Extracting insights from fast-growing operational and flight data sources

  • Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.

  • Contributing to large-scale optimization and simulation projects

  • Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making

  • Working with real-time data and smart calculations to improve the passenger and crew experience


This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

✅ A background in Data Science, Business Analytics, or Operations Research

✅ 4-6 years of work experience as a Data scientist or ML

✅ Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production

✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

What Xccelerated offers

💰 Good salary

🛫 25 vacation days

📊 Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignment

💻 Macbook and Iphone

🍎 Lunches, amazing coffee and snack bar

🎒Flexibility in working from home & at the office in Amsterdam

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at [email protected] or by phone at 0613889770.

Application Process

  • First interview with one of our Recruitment consultants

  • Technical interview with one of our Technical leads

**We aim to complete an application process (from application to offer) within 1-3 weeks. As you will un

Core Responsibilities

You will build and productionize AI/ML models to optimize operational processes such as flight scheduling and maintenance planning. The role involves working with real-time data to develop robust tools that support faster decision-making for crews and planners.

Requirements

Candidates must have 4-6 years of experience in Data Science or Machine Learning with a strong background in modeling and productionizing AI solutions. Proficiency in open-source technologies like Spark, Kafka, Airflow, or Kubernetes is required.

Benefits

  • Good salary
  • 25 vacation days
  • Technical trainings
  • Innovation days
  • Macbook
  • Iphone
  • Lunches
  • Amazing coffee
  • Snack bar
  • Flexibility in working from home

About Xebia

Industry: IT Services and IT Consulting

Company size: 51-200 employees

Xccelerated is an initiative within the Xebia Group, on its mission to eliminate the shortage of highly skilled Data & AI professionals. We accelerate your team through our advanced 13-month programs. Each Xccelerator has 3-4 years of relevant work experience before joining Xccelerated and will therefore make direct impact while working and learning at your company. At the end of each program, they'll have what it takes to join your organization directly as a Medior or Senior, without any strings attached – offering a long-term solution to build your internal capabilities. It's a win-win for everyone.

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